Evolutionary Swarm Robotics: Evolving Self-Organising Behaviours in Groups of Autonomous Robots: 108 (Studies in Computational Intelligence, 108) - Hardcover

Trianni, Vito

Hardcover

ISBN 10: 3540776117 ISBN 13: 9783540776116

Publisher: Springer, 2008

Synopsis

In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. The book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. The experiments presented in the book and the results obtained contribute to the assessment of ER not only as a design tool, but also as a methodology for modelling and understanding intelligent adaptive behaviours.

About this title

Review:

From the reviews:

“This book is aimed at engineering and cognitive science researchers interested in evolutionary robotics techniques for the design of self-organizing group behaviors.” (IEEE Control Systems Magazine, Vol. 30, June, 2010)

From the Back Cover:

In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. This research has a twofold value. From an engineering perspective, an automatic methodology for synthesising complex behaviours in a robotic system is described.

ER techniques should be used in order to obtain robust and efficient group behaviours based on self-organisation. From a more theoretical point of view, the second important contribution brought forth by the author's experiments concerns the understanding of the basic principles underlying self-organising behaviours and collective intelligence. In this experimental work, the evolved behaviours are analysed in order to uncover the mechanisms that have led to a certain organisation.

In summary, this book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. The experiments presented and the results obtained contribute to the assessment of ER not only as a design tool, but also as a methodology for modelling and understanding intelligent adaptive behaviours.

About this edition

• Publisher: Springer
• Publication date: 2008
• ISBN 10: 3540776117
• ISBN 13: 9783540776116
• Binding: Hardcover
• Number of pages: 208